Papers
Learning Hierarchy-Enhanced POI Category Representations Using Disentangled Mobility Sequences
Hongwei Jia, Meng Chen, Weiming Huang et al.
Learning in CubeRes Model Space for Anomaly Detection in 3D GPR Data
Xiren Zhou, Shikang Liu, Ao Chen et al.
Learning Label Dependencies for Visual Information Extraction
Minghong Yao, Liansheng Zhuang, Houqiang Li et al.
Learning Label-Specific Multiple Local Metrics for Multi-Label Classification
Jun-Xiang Mao, Jun-Yi Hang, Min-Ling Zhang
Learning Logic Programs by Discovering Higher-Order Abstractions
Céline Hocquette, Sebastijan Dumancic, Andrew Cropper
Learning Low-Rank Tensor Cores with Probabilistic ℓ0-Regularized Rank Selection for Model Compression
Tianxiao Cao, Lu Sun, Canh Hao Nguyen et al.
Learning Multi-Granularity and Adaptive Representation for Knowledge Graph Reasoning
Ziyu Shang, Peng Wang, Wenjun Ke et al.
Learning Pareto Set for Multi-Objective Continuous Robot Control
Tianye Shu, Ke Shang, Cheng Gong et al.
Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation
Guangtao Zheng, Wenqian Ye, Aidong Zhang
Learning Spatial Similarity Distribution for Few-shot Object Counting
Yuanwu Xu, Feifan Song, Haofeng Zhang
Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges
Audrey Poinsot, Alessandro Leite, Nicolas Chesneau et al.
Learning to Resolve Social Dilemmas: A Survey (Abstract Reprint)
Shaheen Fatima, Nicholas Jennings, Michael Wooldridge
Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process
Tong Xiao, Jiayu Liu, Zhenya Huang et al.
Learning Translations: Emergent Communication Pretraining for Cooperative Language Acquisition
Dylan Cope, Peter McBurney
Learning What to Monitor: Using Machine Learning to Improve past STL Monitoring
Andrea Brunello, Luca Geatti, Angelo Montanari et al.
Learning with Posterior Sampling for Revenue Management under Time-varying Demand
Kazuma Shimizu, Junya Honda, Shinji Ito et al.
LEEC for Judicial Fairness: A Legal Element Extraction Dataset with Extensive Extra-Legal Labels
Zongyue Xue, Huanghai Liu, Yiran Hu et al.
LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation
Wentao Jiang, Jing Zhang, Di Wang et al.
LeRet: Language-Empowered Retentive Network for Time Series Forecasting
Qihe Huang, Zhengyang Zhou, Kuo Yang et al.
Let’s Start Over: Retraining with Selective Samples for Generalized Category Discovery
Zhimao Peng, Enguang Wang, Xialei Liu et al.
LG-FGAD: An Effective Federated Graph Anomaly Detection Framework
Jinyu Cai, Yunhe Zhang, Jicong Fan et al.
LG-GNN: Local-Global Adaptive Graph Neural Network for Modeling Both Homophily and Heterophily
Zhizhi Yu, Bin Feng, Dongxiao He et al.
Lifted Planning: Recent Advances in Planning Using First-Order Representations
Augusto B. Corrêa, Giuseppe De Giacomo
Linear-Time Optimal Deadlock Detection for Efficient Scheduling in Multi-Track Railway Networks
Hastyn Doshi, Ayush Tripathi, Keshav Agarwal et al.
LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network through Spatial-Temporal Compressive Network Search and Joint Optimization
Qianhui Liu, Jiaqi Yan, Malu Zhang et al.